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The ability to understand user's requests is essential to develop effective task-oriented dialogue systems. For example, in the utterance "I want to listen to Hey Jude by The Beatles", a dialogue system should correctly identify that the user's intention is to give a command to play a song, and that Hey Jude and The Beatles are, respectively, the song's title and the artist name that the user would like to listen. In a dialogue system this information is typically represented through a semantic-frame structure [1]},
and extracting such representation involves two tasks: identifying the correct frame (i.e. intent classification (IC)) and filling the correct value for the slots of the frame (i.e. slot filling (SF)).
